INTELLIGENCE VAULT · A.I. SYSTEMS

AI Concepts and Infrastructure

An empirical analytical portal covering frontier AI model benchmarks, model architectures, silicon supply chains, low-precision inference engineering, data center power infrastructure, and prompt engineering mechanics.

💡 EXECUTIVE PORTAL OVERVIEW
This portal translates complex artificial intelligence engineering into actionable strategic insights for non-technical stakeholders. Whether evaluating model capability (Evals), semiconductor bottlenecks (Ecosystem), serving costs (Inference), or clean energy grid self-sufficiency (Power), each module bridges raw engineering data with clear business, financial, and governance outcomes.

RESEARCH INDEX

Research Categories

Select a category below to explore empirical metrics, interactive tools, and system analyses.

01 // SAMPLING PARAMETERS

Glossary & Sampling Parameters

Comprehensive glossary of 89 indexed AI terms and interactive parameter simulators (temperature, top_p, top_k, context window, KV cache).

💡 Strategic Relevance: Estimate GPU VRAM hardware requirements & configure LLM hyperparameter presets.
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02 // EVALS BENCHMARKS

Model Benchmarks & Architectures

Frontier LLM evaluations (SWE-bench, GDPval Elo, ARC-AGI-3) and 15-slide Frontier Model Architecture & Economics deck.

💡 Strategic Relevance: Select the optimal AI model for software development vs corporate knowledge work.
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03 // ECOSYSTEM SUPPLY CHAIN

Supply Chain & Semiconductor Ecosystem

8-tier semiconductor directory (Synopsys, ASML, TSMC, NVIDIA, SK Hynix) spanning 32 top global infrastructure companies.

💡 Strategic Relevance: Identify geopolitical risks & hardware choke points in semiconductor investments.
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04 // SYSTEMS INFERENCE

Inference Engineering & Optimization

Low-precision NVFP4/FP8 quantization scaling, safetensors zero-copy mmap loading, and serving engines (vLLM, SGLang, TensorRT-LLM).

💡 Strategic Relevance: Balance user response speed against GPU cloud API budgets.
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05 // INFRASTRUCTURE ENERGETICS

Energy & Power Grid Infrastructure

13-slide 2030 AI Factory Blueprint deck, 1 GW SMR nuclear baseload power, and closed-loop liquid cooling infographics.

💡 Strategic Relevance: Evaluate clean nuclear SMR energy & 95% water reduction cooling efficiency (PUE).
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06 // MECHANISTICS PROMPTING

Prompt Engineering & Mechanistics

Transformer induction heads, Function Vector (FV) heads, complexity classes (TC⁰ to P-Time), and prompt sandbox simulators.

💡 Strategic Relevance: Master structured prompt architecture to maximize output accuracy & reliability.
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07 // POLICY MACROECONOMICS

Dispelling AI Job Loss & Resource Myths

Vanguard 2026 labor study (+3.8% wage premium), MIT Autor expertise framework, mega-bank case studies, and municipal grid decoupling facts.

💡 Strategic Relevance: Boardroom briefing data disproving AI job loss and municipal water grid displacement.
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